Lossy-Compression Artifact Reduction

2 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Image Reconstruction with Predictive Filter Flow

aimerykong/predictive-filter-flow 28 Nov 2018

We propose a simple, interpretable framework for solving a wide range of image reconstruction problems such as denoising and deconvolution.

CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding

eXascaleInfolab/CORAD Big Data 2019

In this work, we demonstrate how one can leverage the correlation across several related time series streams to both drastically improve the compression efficiency and reduce the accuracy loss. We present a novel compression algorithm for time series streams called CORAD (CORelation-Aware compression of time series streams based on sparse Dictionary coding).